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dc.contributor.authorOsaku, Daniel [UNESP]
dc.contributor.authorMarana, Aparecido Nilceu [UNESP]
dc.contributor.authorPapa, Joao Paulo [UNESP]
dc.contributor.authorMaino, G.
dc.contributor.authorForesti, G. L.
dc.date.accessioned2020-12-10T19:31:57Z
dc.date.available2020-12-10T19:31:57Z
dc.date.issued2011-01-01
dc.identifier.citationImage Analysis And Processing - Iciap 2011, Pt I. Berlin: Springer-verlag Berlin, v. 6978, p. 169-177, 2011.
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11449/196059
dc.description.abstractThermal faceprint has been paramount in the last years. Since we can handle with face recognition using images acquired in the infrared spectrum, an unique individual's signature can be obtained through the blood vessels network of the face. In this work, we propose a novel framework for thermal faceprint extraction using a collection of graph-based techniques, which were never used to this task up to date. A robust method of thermal face segmentation is also presented. The experiments, which were conducted over the UND Collection C dataset, have showed promising results.en
dc.format.extent169-177
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofImage Analysis And Processing - Iciap 2011, Pt I
dc.sourceWeb of Science
dc.subjectFaceprint
dc.subjectImage Foresting Transform
dc.subjectOptimum-Path Forest
dc.subjectThermal Face Recognition
dc.titleA Graph-Based Framework for Thermal Faceprint Characterizationen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.description.affiliationSao Paulo State Univ Unesp, Dept Comp, Bauru, Brazil
dc.description.affiliationUnespSao Paulo State Univ Unesp, Dept Comp, Bauru, Brazil
dc.identifier.wosWOS:000334925300018
unesp.author.orcid0000-0003-4861-7061[2]
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